V. Le

SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection

Results indicate that combining hierarchical Swin features with diverse multi-scale reconstruction substantially improve pixel-level localization in multi-class unsupervised anomaly setting, and introduce a feature diversity-preserving reconstruction framework that maintains complementary reconstruction hypotheses inst...